To address the common issues of wrinkling,tearing,and uneven wall thickness in the actual sheet metal stamp-ing process of the outer ring of needle roller bearings,this study analyzes critical technical indicators suc...To address the common issues of wrinkling,tearing,and uneven wall thickness in the actual sheet metal stamp-ing process of the outer ring of needle roller bearings,this study analyzes critical technical indicators such asforming limits,thickness distribution,and principal strains in the forming process in detail.Three-dimensionalmodels of the concave and convex dies were constructed.The effects of different process parameters,includingstamping speed,edge pressure,sheet metal thickness,and friction coefficient,on the quality of the forming partswere investigated by varying these parameters.Subsequently,the orthogonal experimental method was used todetermine an optimal experimental group from multiple sets of experiments.It was found that under the processparameters of a stamping speed of 3000 mm/s,edge pressure of 2000 N,sheet metal thickness of 0.9 mm,andfriction coefficient of 0.125,the forming quality of the outer ring of the bearing is ideal.展开更多
This paper proposes an ensemble radial basis function neural network that selects important RBF subsets based on Pareto chart using Bootstrap samples.Then,the analysis of variance method is used to determine the choic...This paper proposes an ensemble radial basis function neural network that selects important RBF subsets based on Pareto chart using Bootstrap samples.Then,the analysis of variance method is used to determine the choice of the unequal/equal weights.The effectiveness of the proposed technique is illustrated with a micro-drilling process.The comparison results show that the proposed technique can not only improve the model prediction performance,but also generate a reliable scheme for quality design.展开更多
Healthcare waste(HCW)management plays a vital role in the development of modern society.In HCW management,failure mode and effects analysis(FMEA)is a popular method to implement risk management for improving the quali...Healthcare waste(HCW)management plays a vital role in the development of modern society.In HCW management,failure mode and effects analysis(FMEA)is a popular method to implement risk management for improving the quality of healthcare.However,the shortcomings of the traditional FMEA method have been widely discussed in literatures.This paper proposes an information fusion FMEA method based on 2-tuple linguistic information and interval probability.The 2-tuple linguistic set theory is adopted to change the heterogeneous information into interval numbers.Meanwhile,the interval probability comparison method is applied to analyze failure modes.Finally,a case study is presented to verify the reliability and effectiveness of the proposed method by comparing different FMEA methods.展开更多
基金supported by the China Postdoctoral Science Foundation(Grant No.2022M721395)the National Natural Science Foundation of China(Grant No.72072089).
文摘To address the common issues of wrinkling,tearing,and uneven wall thickness in the actual sheet metal stamp-ing process of the outer ring of needle roller bearings,this study analyzes critical technical indicators such asforming limits,thickness distribution,and principal strains in the forming process in detail.Three-dimensionalmodels of the concave and convex dies were constructed.The effects of different process parameters,includingstamping speed,edge pressure,sheet metal thickness,and friction coefficient,on the quality of the forming partswere investigated by varying these parameters.Subsequently,the orthogonal experimental method was used todetermine an optimal experimental group from multiple sets of experiments.It was found that under the processparameters of a stamping speed of 3000 mm/s,edge pressure of 2000 N,sheet metal thickness of 0.9 mm,andfriction coefficient of 0.125,the forming quality of the outer ring of the bearing is ideal.
基金This work was supported by the National Natural Science Foundation of China(NSFC)(grant numbers 71702072,71811540414,71401080,71871119,71771121)the Fundamental Research Funds for the Central Universities(grant number NR2019002)+1 种基金the Natural Science Foundation of Jiangsu Province-BK20170810The work of Professor Park was supported in part by the National Research Foundation of Korea grant funded by the Korea government(grant number NRF-2017R1A2B4004169).
文摘This paper proposes an ensemble radial basis function neural network that selects important RBF subsets based on Pareto chart using Bootstrap samples.Then,the analysis of variance method is used to determine the choice of the unequal/equal weights.The effectiveness of the proposed technique is illustrated with a micro-drilling process.The comparison results show that the proposed technique can not only improve the model prediction performance,but also generate a reliable scheme for quality design.
基金supported by the National Natural Science Foundation of China(Nos.71931006,71702072)the Natural Science Foundation for Jiangsu Institutions(No.BK20170810)the China Postdoctoral Science Foundation(No.2019T120429,2017M611808)
文摘Healthcare waste(HCW)management plays a vital role in the development of modern society.In HCW management,failure mode and effects analysis(FMEA)is a popular method to implement risk management for improving the quality of healthcare.However,the shortcomings of the traditional FMEA method have been widely discussed in literatures.This paper proposes an information fusion FMEA method based on 2-tuple linguistic information and interval probability.The 2-tuple linguistic set theory is adopted to change the heterogeneous information into interval numbers.Meanwhile,the interval probability comparison method is applied to analyze failure modes.Finally,a case study is presented to verify the reliability and effectiveness of the proposed method by comparing different FMEA methods.
